Using a corridor search to identify locations of interest along a travel route

ABSTRACT

A corridor search process is used to identify locations of interest along a travel route. The corridor search process identifies locations of interest along a travel route by using a grid search process that first identifies shape points that correspond to the travel route. Each shape point is associated with a portion of a grid system used to delineate a region of geography through which the route traverses. The portions of the grid system correspond to a corridor along the travel route. References to redundant portions of the grid system are removed, and locations of interest are identified based on an association between a location of interest with a particular portion of the grid system.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation application of U.S. application Ser.No. 11/682,151, filed Mar. 5, 2007, now allowed, which is a continuationof U.S. application Ser. No. 11/420,682, filed May 26, 2006 and titled“Using a Corridor Search to Identify Locations of Interest Along aRoute,” now issued, U.S. Pat. No. 7,194,357, which is a continuation ofU.S. application Ser. No. 11/185,836 filed Jul. 21, 2005, now issued,U.S. Pat. No. 7,054,743, and titled “Using a Corridor Search to IdentifyLocations of Interest Along a Route,” which is also a continuation ofSer. No. 10/632,808, filed Aug. 4, 2003, now issued U.S. Pat. No.6,954,697 and titled “Using a Corridor Search to Identify Locations ofInterest Along a Route,” all of which are incorporated by reference intheir entirety.

TECHNICAL FIELD

This description relates to identifying locations of interest along atravel route between an origin location and a destination location.

BACKGROUND

A preferred route between an origin location and a destination locationmay be determined by a computer system, which may be referred to as amapping system. A user of a mapping system may desire to identifylocations of interests near or along the travel route, such as a gasstation, a restaurant, a rest area, an entertainment or educationalopportunity, or a historical landmark. Searching for locations ofinterest near or along a travel route may be accomplished by using aproximity search that identifies a point along the route (such as anexit ramp) and searches for locations of interest within a radius aroundthe point. Alternatively, a polygonal search may be performed toidentify locations of interest within a particular shape of polygon,typically a square or rectangle, that overlays the route. These methodsmay identify locations that are not convenient to the travel route, suchas locations that are too far from the route or locations that are noteasily accessible to the route.

SUMMARY

In one general aspect, determining locations of interest for a routeincludes accessing shape points that correspond to a route from anorigin to a destination. A portion of a grid that corresponds to a shapepoint is identified. Locations of interest are determined based onlocations of interest that are associated with an identified portion ofthe grid. At least some of the determined locations of interest areidentified as locations of interest for the route.

Implementations may include one or more of the following features. Forexample, the locations of interest for the route may be determined byidentifying redundant portions of the grid that have been identified andeliminating the redundantly identified portions of the grid such thatonly non-redundant portions of the grid are identified as locations ofinterest for the route. Some of the determined locations of interest maybe identified by eliminating any retrieved location of interest that isnot within a predetermined distance of the route or not within apredetermined driving distance of the route.

The grid may be a multiple-level grid hierarchy. A spatial identifier ofa portion of the multiple-level grid hierarchy may be associated with anaccessed shape point. Locations of interest may be retrieved that areassociated with a spatial identifier of a portion of the multiple-levelgrid hierarchy. Each level of the multiple-level grid hierarchy mayinclude four quadrants.

Locations of interest may be determined by an on-board vehiclenavigation system or a personal digital assistant. Locations of interestmay be determined based on an indirect association between a location ofinterest and a shape point.

Implementations of the techniques described may include a method orprocess, an apparatus or system, or computer software on acomputer-accessible medium. The details of one or more implementationsare set forth below. Other features will be apparent from thedescription and drawings, and from the claims.

DESCRIPTION OF DRAWINGS

FIG. 1 is a block diagram of a communications system capable of using acorridor search process to identify a location of interest along atravel route.

FIG. 2 is an expansion of the block diagram of FIG. 1.

FIGS. 3, 3A, 5 and 9 are diagrams illustrating locations of interestalong a travel route that have been identified by a corridor search.

FIGS. 4 and 7 are flow charts depicting processes that use a corridorsearch to identify locations of interest along a travel route.

FIG. 6 is a diagram illustrating the results of using a corridor searchto identify locations of interest along a travel route.

FIG. 8 is a diagram depicting a multiple-level, quadrant grid thatrecursively divides a geographic region for location-of-interestsearching.

FIG. 10 is a block diagram of example data structures used to determinelocations of interest along a travel route.

FIG. 11 is a diagram of components that may be used for identifyinglocations of interest along a travel route.

DETAILED DESCRIPTION

Techniques are provided for using a corridor search process to identifylocations of interest near or along a travel route. A location ofinterest also may be referred to as a place of interest or a point ofinterest. Examples of a location of interest include a gas station, arestaurant, a lodging (such as a bed and breakfast, a motel, or ahotel), an entertainment and educational opportunity (such as anamusement park, a water park, a movie theater, a night spot, a museum,and a library), and a historical or another type of landmark.

More specifically, the corridor search process identifies locations ofinterest along a travel route using a grid search process that firstidentifies shape points that correspond to the travel route. Each shapepoint is associated with a portion of a grid system used to delineate aregion of geography through which the route traverses. The portions ofthe grid system correspond to a corridor along the travel route.Redundant references to a portion of the grid system may be removed, andlocations of interest are identified based on an association between alocation of interest with a particular portion of the grid system. Thegrid system may be used to enable the indirect association of locationsof interest with a travel route.

Using a grid system to identify a corridor along a travel route tosearch may enable a more efficient search for locations of intereststhan a polygonal search or a proximity search. Alternatively oradditionally, the use of a corridor search may improve the searchresults by identifying locations that are near and/or easily accessibleto the travel route.

For illustrative purposes, FIGS. 1 and 2 describe a communicationssystem that may be used to request and provide routes between origin anddestination locations. For brevity, several elements in the figuresdescribed below are represented as monolithic entities. However, aswould be understood by one skilled in the art, these elements each mayinclude numerous interconnected computers and components designed toperform a set of specified operations and/or dedicated to a particulargeographical region.

Referring to FIG. 1, a communications system 100 is capable ofdelivering and exchanging data between a client system 105 and a hostsystem 110 through a communications link 115. The client system 105typically includes one or more client devices 120 and/or clientcontrollers 125, and the host system 110 typically includes one or morehost devices 115 and/or host controllers 140. For example, the clientsystem 105 or the host system 110 may include one or moregeneral-purpose computers (e.g., personal computers), one or morespecial-purpose computers (e.g., devices specifically programmed tocommunicate with each other and/or the client system 105 or the hostsystem 110), or a combination of one or more general-purpose computersand one or more special-purpose computers. The client system 105 and thehost system 110 may be arranged to operate within or in concert with oneor more other systems, such as, for example, one or more LANs (“LocalArea Networks”) and/or one or more WANs (“Wide Area Networks”).

The client device 120 (or the host device 115) is generally capable ofexecuting instructions under the command of a client controller 125 (ora host controller 140). The client device 120 (or the host device 115)is connected to the client controller 125 (or the host controller 140)by a wired or wireless data pathway 110 or 145 capable of deliveringdata.

Each of the client device 120, the client controller 125, the hostdevice 115, and the host controller 140 typically includes one or morehardware components and/or software components. An example of a clientdevice 120 or a host device 115 is a general-purpose computer (e.g., apersonal computer) capable of responding to and executing instructionsin a defined manner. Other examples include a special-purpose computer,a workstation, a server, a device, a component, other physical orvirtual equipment or some combination thereof capable of responding toand executing instructions.

An example of the client controller 125 or the host controller 140 is asoftware application loaded on the client device 120 or the host device115 for commanding and directing communications enabled by the clientdevice 120 or the host device 115. Other examples include a program, apiece of code, an instruction, a device, a computer, a computer system,or a combination thereof, for independently or collectively instructingthe client device 120 or the host device 115 to interact and operate asdescribed. The client controller 125 and the host controller 140 may beembodied permanently or temporarily in any type of machine, component,physical or virtual equipment, storage medium, or propagated signalcapable of providing instructions to the client device 120 or the hostdevice 115.

The communications link 115 typically includes a delivery network 160that provides a direct or indirect communication link between the clientsystem 105 and the host system 110, irrespective of physical separation.Examples of a delivery network 160 include the Internet, the World WideWeb, WANs, LANs, analog or digital wired and wireless telephone networks(e.g., PSTN (“Public Switched Telephone Network”), ISDN (“IntegratedServices Digital Network”), and DSL (“Digital Subscriber Line”)including various forms of DSL such as SDSL (“Single-line DigitalSubscriber Line”), ADSL (“Asymmetric Digital Subscriber Line), HDSL(“High bit-rate Digital Subscriber Line”), and VDSL (“Very high bit-rateDigital Subscriber Line)), radio, television, cable, satellite, and/orany other delivery mechanism for carrying data. The communications link115 may include communication pathways 150, 155 that enablecommunications through the one or more delivery networks 160 describedabove. Each of the communication pathways 150 and 155 may include, forexample, a wired, a wireless, a cable or a satellite communicationspathway.

FIG. 2 illustrates a communication system 200 including a client system205 communicating with a host system 210 through a communications link215. The client system 205 typically includes one or more client devices220 and one or more client controllers 225 for controlling the clientdevices 220. The host system 210 typically includes one or more hostdevices 235 and one or more host controllers 240 for controlling thehost devices 235. The communications link 215 may include communicationspathways 250, 255 that enable communications through the one or moredelivery networks 260.

Examples of each element within the communication system of FIG. 2 arebroadly described above with respect to FIG. 1. In particular, the hostsystem 210 and the communications link 215 typically have attributescomparable to those described with respect to the host system 110 andthe communications link 115 of FIG. 1, respectively. Likewise, theclient system 205 of FIG. 2 typically has attributes comparable to, andmay illustrate one possible implementation of, the client system 105 ofFIG. 1.

The client device 220 typically includes a general purpose computer 270having an internal or external storage 272 for storing data and programssuch as an operating system 274 (e.g., DOS, Windows®, Windows® 95,Windows® 98, Windows® 2000, Windows® NT, Windows® Millennium Edition,Windows® XP, OS/2, Linux, and other Unix-based operating systems) andone or more application programs. Examples of application programsinclude authoring applications 276 (e.g., word processing, databaseprograms, spreadsheet programs, presentation programs, and graphicsprograms) capable of generating documents or other electronic content;client applications 278 (e.g., AOL (“America Online”) client, CompuServeclient, AIM (“America Online Instant Messenger”) client, AOL TV(“America Online Television”) client, and an ISP (“Internet ServiceProvider”) client) capable of communicating with other computer users,accessing various computer resources, and viewing, creating, orotherwise manipulating electronic content; and browser applications 280(e.g., Netscape's Navigator and Microsoft's Internet Explorer) capableof rendering standard Internet content.

The general-purpose computer 270 also includes a central processing unit282 (CPU) for executing instructions in response to commands from theclient controller 225. In one implementation, the client controller 225includes one or more of the application programs installed on theinternal or external storage 272 of the general-purpose computer 270. Inanother implementation, the client controller 225 includes applicationprograms externally stored in and executed by one or more device(s)external to the general-purpose computer 270.

The general-purpose computer 270 typically will include a communicationdevice 284 for sending and receiving data. One example of thecommunication device 284 is a modem. Other examples include atransceiver, a set-top box, a communication card, a satellite dish, anantenna, or another network adapter capable of transmitting andreceiving data over the communications link 215 through a wired orwireless data pathway 250. The general-purpose computer 270 also mayinclude a TV (“television”) tuner 286 for receiving televisionprogramming in the form of broadcast, satellite, and/or cable TVsignals. As a result, the client device 220 can selectively and/orsimultaneously display network content received by the communicationsdevice 284 and television programming content received by the TV tuner286.

The general-purpose computer 270 typically will include an input/outputinterface 288 to enable a wired or wireless connection to variousperipheral devices 290. Examples of peripheral devices 290 include, butare not limited to, a mouse 291, a mobile phone 292, a personal digitalassistant 293 (PDA), a keyboard 294, a display monitor 295 with orwithout a touch screen input, and/or a TV remote control 296 forreceiving information from and rendering information to subscribers.Other examples may include voice recognition and synthesis devices.

Although FIG. 2 illustrates devices such as a mobile telephone 292, aPDA 293, and a TV remote control 296 as being peripheral with respect tothe general-purpose computer 270, in another implementation, suchdevices may themselves include the functionality of the general-purposecomputer 270 and operate as the client device 220. For example, themobile phone 292 or the PDA 293 may include computing and networkingcapabilities, and may function as a client device 220 by accessing thedelivery network 260 and communicating with the host system 210.Furthermore, the client system 205 may include one, some, all, or noneof the components and devices described above.

FIG. 3 illustrates a route presentation 300 that presents the results ofusing a corridor search to identify locations of interest along a travelroute (“a route”). The route presentation 300 may be displayed on theclient system display 295 of FIG. 2, printed on a printer associatedwith the client system 205 of FIG. 2, or displayed on a displayassociated with an on-board vehicle navigation system. The routepresentation 300 typically is presented in the form of a map and may bereferred to as a route map 310.

The route map 310 includes an origin location 330, a destinationlocation 335, and a route 340 between the origin location 330 and thedestination location 335, In some implementations the route map 310 alsomay include a variable network or display of roadways and othergeographic features that are near the route, such as hydrology (e.g.,rivers, lakes and other bodies of water) and cities.

The route map 310 includes locations of interest 360 a-360 f that havebeen identified as occurring along the route 340. In the implementationof FIG. 3, the route map 310 presents each location of interest 360a-360 f using a star symbol; however, other representations may be used,such as symbols, bit-mapped images, or image types (collectively,“symbols”). A symbol may represent a type of location of interestgenerally (e.g., a lodging, a restaurant, a gas station, anentertainment or educational opportunity, or a historical landmark) orit may be peculiar to a particular location of interest (e.g., theUnited States Capitol or a particular amusement park). Someimplementations may use a single symbol to represent all locations ofinterest regardless of their type of location of interest. The inclusionof locations of interest in the route map 310 may help a user to planactivities along the route. The inclusion of locations of interest alsomay provide an opportunity for the route presentation provider to obtainrevenue, for example, by enabling the provider to charge for the displayof a location of interest on the route map 310, which may help create orinvigorate a market for route presentation services. In one example, anInternet services provider may charge the owner of a location ofinterest a fee each time the location of interest is displayed on aroute presented by the Internet services provider. Similarly, a mappingservices provider may charge the owner of a location of interest a feeeach time the location of interest is displayed on a route presented bythe mapping services provider.

FIG. 3A shows an example of a portion of a corridor route presentation300A that presents the results using a corridor search to identifylocations of interest along a route. The route presentation 300A showsthe results of a corridor search in contrast with the results of using aradius search to identify locations of interest along the route. Theroute presentation 300 may be displayed on the client system display 295of FIG. 2, printed on a printer associated with the client system 205 ofFIG. 2, or displayed on a display associated with an on-board vehiclenavigation system.

In this example, the corridor route presentation 300A includes two exits330A and 335A located along a portion 340A of a route that traverses aninterstate highway. A corridor search has identified a corridor alongthe portion 340A of the route. The corridor includes a series ofrectangles 341A-347A that correspond to a corridor for the route. Thecorridor route presentation 300A includes only one location of interest360A that is located within one of the rectangles 341A-347A of thecorridor. More specifically, the location of interest 360A is locatedwithin the rectangle 342A that is included in the corridor for theportion 340A of the route.

In contrast to using a corridor search, a conventional proximity searchuses a point at one end of the exit ramp 335A as the center point of aradius of a circle and searches for locations of interest within aradius around the center point. The center point may be referred to as anode. All locations of interest within the circle are identified. Toidentify the location of interest 360A identified by the corridorsearch, the conventional proximity search uses a circle 370A that has asufficient radius to reach the location of interest 360A. Within thecircle 370A are the additional locations of interest 371A-380A, whichmay not be accessible to the route. As shown by FIG. 3A, the corridorsearch identifies a single location of interest 360A that is accessibleto the route and does not identify the locations of interest 371A-380A.

A corridor search may produce more useful results than a radius-basedproximity search, particularly when there is a great distance betweeninterstate highway exits. In such a case, a proximity search may need touse a large radius to identify a location of interest along a route. Thesize of the radius used in a proximity search corresponds to the size ofthe search area used to identify locations of interest. The use of alarge radius defines a larger search area (than when a smaller radius isused), which, in turn, increases the likelihood that more locations ofinterest will be identified that are farther from the route, which maynot be convenient to the traveler.

FIG. 4 illustrates an exemplary process 400 for using a corridor searchto identify locations of interest along a route. The corridor searchprocess 400 may be performed, for example, by the host system 210 ofFIG. 2. To describe the corridor search process 400, FIG. 5 is used toillustrate the results of the process 400 on route map 310. FIG. 6 isused to illustrate aspects of the process 400 that are not shown by theroute map 310 of FIG. 5.

The corridor search process 400 begins when the host system accessesshape points that correspond to a route from an origin location to adestination location (step 410). A shape point occurs where the shape ofthe route changes, such as at a curve in the route. A link is used toconnect two shape points and represents a portion of the route where theroute does not change shape. A shape point may be, for example, thelongitude and latitude coordinate of a point included in the route. Insome implementations, a shape point may be an endpoint of a vectorhaving a quantity and direction representing the shape of a portion ofthe route. Accessing shape points that correspond to the route may beaccomplished by accessing a list, table or another type of datastructure that associates a shape point with a geographic location,which, in turn, is associated with the route. The associated shapepoints then may be retrieved from storage. In some implementations, thehost system may access the shape points by receiving the shape points,such as receiving shape points in association with a request to initiatea corridor search process. The use of shape points that have beenpreviously identified and/or received (rather than accessing shapepoints from remote storage that is accessible through a network) may beadvantageous.

In an implementation of a routing system that generates a route byprocessing links (e.g., edges) in a graph that includes one or morelinks and two or more nodes, accessing shape points that correspond tothe points in a route may be accomplished, for example, by retrieving,from data storage, a list of shape points that are associated with eachlink in a route.

Referring also to the route map 310 of FIG. 5, in contrast with routemap 310 of FIG. 3, the route map 310 of FIG. 5 includes route 340 thatincludes several shape points 525, examples of which are identified atreference numerals 525 a-525 m. Each of shape points 525 a-525 mrepresents a particular longitude and latitude coordinate of a pointalong the route 340. FIG. 5 graphically illustrates these 525 a-525 mand other shape points 525 a-525 m along the route 340, whereas FIG. 6provides a table 600 of shape points 620.

The host system then identifies a portion of a grid that corresponds toeach accessed shape point (step 420). The grid identifies and referencesa region of geography over which the route traverses.

By way of example, and referring again to FIG. 5, a grid 550 may be usedto delineate a region of geography that includes the route 340. The grid550 includes vertical lines 552 a-552 f and horizontal lines 555 a-555f. Thus, the grid 550 is formed by the intersections of the verticallines 552 a-552 f and the horizontal lines 555 a-555 f such that thegrid 550 includes rectangular grid portions 560 a-560 i. Each gridportion is delineated by two vertical lines and two horizontal lines.For example, the grid portion 560 a is delineated by horizontal lines555 a and 555 b and vertical lines 552 a and 552 b. Similarly, the gridportion 560 f is delineated by horizontal lines 555 c and 555 d andvertical lines 552 d and 552 e. The grid portions 560 a-560 i includeone or more of the shape points 525 a-525 m that correspond to the route340 from origin 330 to destination 335.

In this example, the host system identifies the grid portions 560 a-560i as corresponding to one or more of the shape points 525 a-525 m in theroute 340. This may be accomplished, for example, by the host systemaccessing a list, a table or another type of data structure thatassociates a shape point with a grid portion to identify a grid portionthat is associated with a particular shape point, such as 525 a. Thehost system proceeds to determine the grid portion that corresponds tothe other identified shape points, such as 525 b-525 m, until a gridportion has been identified as corresponding to each of the shape points525 a-525 m along the route 340.

Table 600 identifies the grid portions 660 corresponding to each ofshape points 525 a-525 m using grid portions 560 a-560 i of the grid 550illustrated by FIG. 5. Table 600 illustrates the grid portions 660 thatare retrieved based on an association with corresponding shape points625. For example, shape point 525 a corresponds to grid portion 560 a,as shown by row 670 of table 600. Similarly, shape point 525 b alsocorresponds to grid portion 560 a, as indicated by row 671 of table 600.A grid portion may correspond to more than one shape point. For example,in table 600, grid portion 560 a is shown to correspond to each of theshape points 525 a and 525 b. In fact, some grid portions may correspondto many shape points. For example, in table 600, grid portion 560 e isshown to correspond to shape points 525 f-525 h, as illustrated by FIG.5 and rows 675-677 of table 600.

In some implementations, some shape points may be associated with morethan one grid portion. This may be useful, for example, when a shapepoint, such as the shape point 525 f of FIG. 5, is on the border of twogrid portions. Some implementations, however, may associate a shapepoint with only one grid portion.

The host system then optionally identifies the unique grid portions suchthat each grid portion (and each reference to a particular grid portion)occurs only once (step 430).

The host system may do so by creating a new list of grid portions, or itmay instead examine a list of grid portions identified in step 420 andremove references to grid portions that are duplicates of otherreferences to the same grid portion identified in the list.

The unique grid portions 690 that result from step 430 are illustratedin FIG. 6. In table 600, for example, grid portions 560 a, 560 b, 560 c,560 e, 560 g, 560 h and 560 i of the identified thirteen grid portionsin grid portions 660 are unique.

The grid portions are identified in steps 420 and/or 430 ascorresponding to the route collectively may be referred to as the routecorridor. For example, in FIG. 5, the route corridor for the route 340includes grid portions 560 a-560 i.

Having identified grid portions that form the route corridor in steps420 and/or 430, the host system then retrieves locations of interestthat are associated with the identified grid portions (step 440). Whenthe host system has identified a unique list of grid portions, thelocations of interest are identified only for the grid portions that areunique. When the host system has not identified a unique list of gridportions, the locations of interests are identified for each gridportion, even duplicated grid portions, is identified. Thus, by removingreferences to duplicated grid portions, a list of references to uniquegrid portions is used to retrieve locations of interest, which, in turn,may result in a more efficient, or perhaps a much more efficient,corridor search process.

The retrieval of locations of interest (step 440) may be accomplished,for example, by accessing a list, a table or another type of datastructure containing locations of interest in which each location ofinterest is associated with a portion of a grid. The host system is ableto retrieve locations of interest based on that association. Using thetable 600 as an example, the host system retrieves locations of interest695 that include the locations of interest 360 a-360 f. The retrievedlocations of interest 360 a-360 f for the route are illustrated on FIG.5.

The host system then presents some or all of the locations of interestthat are associated with the route (step 450). Using FIG. 5 as anexample, the host system presents the locations of interest 360 a-360 fwhich correspond to each of the grid portions 560 a, 560 b, 560 c, 560e, 560 g, 560 h and 560 i. As illustrated in FIG. 5, there may notnecessarily be a location of interest for each grid portion.

FIG. 7 illustrates an example process 700 for using a corridor search toidentify locations of interest along a route. In contrast to process 400of FIG. 4, the process 700 is illustrated using a hierarchy of grids 800that has multiple levels, with each level being based on a quadrant, asillustrated in FIG. 8. A top-level grid 810 includes a region ofgeography 811 (here, the continental United States other than the Stateof Alaska) and four quadrants 812-815. Each quadrant 812, 813, 814 or815 includes a portion of the region of geography 811.

The quadrant 812 corresponds to a grid 820A in the second-level of thegrid hierarchy 800. The grid 820A includes a region of geography 821A(e.g., the Northwest portion of the continental United States in FIG. 8)that corresponds to the portion of geography included in quadrant 812 ofthe top-level grid 810. The second-level grid 820A also includes fourquadrants 822A, 823A, 824A and 825A. Each quadrant 822A, 823A, 824A or825A includes a portion of the region of geography 821A.

Similarly, the quadrant 813 corresponds to a grid 820B in thesecond-level of the grid hierarchy 800. The grid 820B includes a regionof geography 821B (e.g., the Southwest portion of the continental UnitedStates in FIG. 8) that corresponds to the portion of geography includedin quadrant 813 of the top-level grid 810. The second-level grid 820Balso includes four quadrants 822B, 823B, 824B and 825B. Each quadrant822B, 823B, 824B or 825B includes a portion of the region of geography821B.

In the same manner, the quadrant 814 corresponds to a grid 820C in thesecond-level of the grid hierarchy 800. The grid 820C includes a regionof geography 821C (e.g., the Southeast portion of the continental UnitedStates in FIG. 8) that corresponds to the portion of geography includedin quadrant 814 of the top-level grid 810. The second-level grid 820Calso includes four quadrants 822C, 823C, 824C and 825C. Each quadrant822C, 823C, 824C or 825C includes a portion of the region of geography821C.

In the same manner, the quadrant 815 corresponds to a grid 820D in thesecond-level of the grid hierarchy 800. The grid 820D includes a regionof geography 821D (e.g., the Northeast portion of the continental UnitedStates in FIG. 8) that corresponds to the portion of geography includedin quadrant 815 of the top-level grid 810. The second-level grid 820Dalso includes four quadrants 822D, 823D, 824D and 825D. Each quadrant822D, 823D, 824D or 825D includes a portion of the region of geography821D.

In this manner, each quadrant 812, 813, 814 or 815 of the top-level grid810 corresponds to one of four grids, 820A, 820B, 820C or 820D, in thesecond-level of the grid hierarchy 800. Each quadrant 822A, 823A, 824A,825A, 822B, 823B, 824B, 825B, 822C, 823C, 824C, 825C, 822D, 823D, 824Dor 825D of each grid 820A, 820B, 820C or 820D of the second-level of thegrid hierarchy 800 also corresponds to a grid in the third-level of thegrid hierarchy 800. For brevity, only the four grids 830A, 830B, 830Cand 830D of one of the second-level grids (specifically, grid 820A) areshown. The four grids of the second-level grid 820B are not shown.Similarly, the four grids of the second-level grids 820C and 820D arenot shown.

The quadrant 822A corresponds to a grid 830A in the third-level of thegrid hierarchy 800. The grid 830A includes a region of geography 831Athat corresponds to the portion of geography included in quadrant 822Aof the second-level grid 820A. The third-level grid 830A also includesfour quadrants 832A, 833A, 834A and 835A, each quadrant 832A, 833A, 834Aor 835A including a portion of the region of geography 831A.

Similarly, the quadrant 823A corresponds to a grid 830B in thethird-level of the grid hierarchy 800. The grid 830B includes a regionof geography 831B that corresponds to the portion of geography includedin quadrant 823A of the second-level grid 820A. The third-level grid830B also includes four quadrants 832B, 833B, 834B and 835B. Eachquadrant 832B, 833B, 834B or 835B includes a portion of the regionofgeography 831B.

In the same manner, quadrant 824A corresponds to a grid 830C in thethird-level of the grid hierarchy 800. The grid 830C includes a regionof geography 831C that corresponds to the portion of geography includedin quadrant 824A of the second-level grid 820A. The third-level grid830C also includes four quadrants 832C, 833C, 834C and 835C. Eachquadrant 832C, 833C, 834C or 835C includes a portion of the region ofgeography 831C.

In the same manner, the quadrant 821A corresponds to a grid 830D in thethird-level of the grid hierarchy 800. The grid 830D includes a regionof geography 831D that corresponds to the portion of geography includedin quadrant 821A of the second-level grid 820A. The third-level grid830D also includes four quadrants 832D, 833D, 834D and 835D. Eachquadrant 832D, 833D, 834D or 835D includes a portion of the region ofgeography 831D.

In this manner, each quadrant 822A, 822B, 822C or 822D of thesecond-level grid 820A corresponds to one of four grids, 830A, 830B,830C or 830D, in the third-level of the grid hierarchy 800. Eachquadrant 832A, 833A, 834A, 835A, 832B, 833B, 834B, 835B, 832C, 833C,834C, 835C, 832D, 833D, 834D or 835D of each grid 830A, 830B, 830C or830D of the third-level of the grid hierarchy 800 also corresponds to agrid in the fourth-level of the grid hierarchy 800. For brevity, onlythe four grids 840A, 840B, 840C and 840D of one of the third-level grids(specifically, grid 830A) are shown.

The fourth-level grid 840A includes four quadrants 842A, 843A, 844A and845A, each of which includes a portion of the geography (not shown) ofthe region of geography of the quadrant of the third-level grid (here,832A) to which the quadrant corresponds. Similarly, fourth-level grid840B includes four quadrants 842B, 843B, 844B and 845B; fourth-levelgrid 840C includes four quadrants 842C, 843C, 844C and 845C; andfourth-level grid 840D includes four quadrants 842D, 843D, 844D and845D. Each quadrant includes a portion of the geography (not shown) ofthe region of the geography of the quadrant of the third-level grid towhich the quadrant corresponds.

The hierarchy of grids 800 recursively defines the geography in which aroute occurs. Each level of the hierarchy 800 further divides a portionof the geography included in the previous level. In the implementationof hierarchy of girds 800, the top-level includes four quadrants andeach successive level includes four grids, each grid including fourquadrants. The portion of geography that is included in each quadrant ofeach successive level decreases, as does the portion of geographyincluded in each grid of each successive level.

The ability to locate a particular portion of the grid hierarchy and,hence, the route that travels through the portion of geography includedin the grid hierarchy and attributes, such as locations of interest, mayhelp reduce the time required to identify and access a particularportion of the grid or information that is associated with a particularportion of the grid.

Referring again to FIG. 7, the corridor search process 700 identifieslocations of interest for a particular implementation of a routingsystem that generates a route by processing links (e.g., edges) in agraph that includes one or more links and two or more nodes. Thecorridor search process 700 may be performed, for example, by a hostsystem, as described previously in FIG. 1 and FIG. 2.

The process 700 begins when the host system accesses shape points thatcorrespond to a route from an origin to a destination (step 710), asdescribed previously with respect to step 410 of FIG. 4. The host systemmay optionally eliminate any shape points that are within apredetermined distance of another shape point (step 720). This may beaccomplished, for example, by performing a pairwise comparison of eachshape point to another shape point. More specifically, in grid system500 of FIG. 5, the distance from shape point 525 a to other shape pointsmay be determined. In this example, the shape points 525 b-525 c arewithin a predetermined threshold distance of shape point 525 a, andconsequently, so the shape points 525 b-525 c are eliminated from theshape points being processed in the corridor search process 700. Thehost system then identifies another shape point to be used in thecomparison. In this case, the host system identifies the shape point 525d, which is not within a predetermined distance of shape point 525 a.The host system proceeds by comparing the distance between the shapepoint 525 d and the shape point 525 e to the predetermined thresholddistance, eliminating shape point 525 e when the distance falls withinthe predetermined threshold distance. This process continues until eachshape point 525 has been compared with at least one other shape point,and preferably its closest neighboring shape point, which may be readilyidentifiable using the grid techniques of FIG. 8. The predeterminedthreshold distance may be user-configurable or program-configurable soas to allow an implementation of process 700 to be more efficiently usedin a particular context. The elimination of shape points prior toidentifying grid portions for each shape point may help improve theefficiency of performing the corridor search process 700.

With each shape point, a spatial identifier is associated with a portionof a multiple-level grid (step 730). Using the grid 800 of FIG. 8 as anexample, the host system determines a spatial identifier associated witha region of the grid, such as a quadrant in one of the levels of thegrid hierarchy. This may be accomplished, for example, when a spatialidentifier is assigned to each quadrant of each level of the gridhierarchy and stored in persistent storage. The use of a multiple-levelgrid system may allow information about locations of interest within aquadrant to be more efficient.

The host system then eliminates redundant spatial identifiers (step740). The elimination of redundant spatial identifiers may help increasethe efficiency with which the corridor search process 700 is performed.At this point in the process 700, the route may be represented by aseries of grid quadrants, with each grid quadrant being associated witha spatial identifier. The series of grid quadrants may define or beknown as a corridor for the route. The quadrants of the levels of thegrid system that make up the route are analogous to the grid portionsillustrated in FIG. 5 for the route.

The host system retrieves one or more locations of interests that areassociated with each spatial identifier (step 750). This may beaccomplished, for example, by accessing a list, a table or another typeof data structure that contains associations between a location ofinterest identifier and a spatial identifier. Using a locations ofinterest identifier associated with a spatial identifier, the locationof interest may be retrieved from a database of locations of interest. Alocation of interest represents an item in the database and may becategorized by location type.

A grid system that includes locations of interest identified by latitudeand longitude coordinates may be used to identify locations of interest,as described previously with respect to FIG. 4. The use of a spatialidentifier for a multiple-level grid system to search for locations ofinterest along a route may be more efficient than searching forlocations of interest using latitude and longitude coordinates.

With reference to the location(s) of interest retrieved (step 450), thehost system may eliminate locations of interest that fail to meet apredetermined criterion (e.g., those locations of interest that are notwithin a predetermined distance of the route) (step 760). In a morespecific example, locations of interest are eliminated unless they arewithin two miles of the route. FIG. 9 illustrates the result of theelimination of any retrieved location that is not within a predetermineddistance of the route. FIG. 9 only includes locations of interest 360 a,360 b, 360 d, 360 e and 360 f. The location of interest 360 c that isincluded in FIG. 5 is not included in FIG. 9.

In another example of a predetermined criterion, locations of interestmay be eliminated unless they are within a predetermined drivingdistance of the route. To do so, a route determination process may beused to determine a driving route from the location of interest to theroute. The distance of the driving route may be determined, and anylocation of interest that is not within a predetermined driving distanceof the route is eliminated. The elimination of locations of interestbased on the driving distance of the locations of interest to the routemay produce more useful results. For example, a location of interest maybe far from the route when distance is calculated based on drivingdistance but close to the route when distance is calculated based onstraight-line distance (which may be referred to in vernacular languageas a “how-the-crow-flies” distance). Therefore, more useful results maybe presented when a locations of interest is eliminated based on apredetermined threshold based on driving distance from the route ascompared with a predetermined threshold based on straight-line distancefrom the route.

The locations of interest are presented (step 780), as previouslydescribed in step 450 of FIG. 4.

The corridor search process 700 may be able to identify locations ofinterest along a route wherein the locations identified relate to theroute shape (and not a distance from a point in the route or apredefined polygon shape). This may, in torn, result in a process thatis more efficient than conventional locations of interest searchtechniques. The results of corridor search process 700 may identifylocations of interest that are sufficiently close to the route so as tobe useful to the traveler.

FIG. 10 illustrates exemplary data structures 1000 that may be used by acorridor search process performed by a processor of a computing device.The data structures shown in FIG. 10 may be used by a particularimplementation of a routing system that generates a route and locationsof interest by processing links (e.g., edges) in a graph that includesone or more links.

The exemplary data structures 1000 include a data structure 1010 forlink information, a data structure 1030 for associating a shape pointwith a portion of a grid, and a data structure 1050 for a location ofinterest.

The data structure 1010 for link information may be used to identify thelinks included in a route for which locations of interest are beingidentified. The data structure 1010 represents an example of how linkinformation may be organized.

The link data structure 1010 includes a link identifier 1012, a list ofshape point identifiers 1014, and a distance 1016. The link identifier1012 uniquely identifies a particular link. The list of shape pointidentifiers 1014 identifies all of the shape point points that areincluded in the link. Each shape point included in the link isidentified by a unique shape point identifier. The distance 1016indicates the distance to traverse the link. The distance 1016 may beuseful when locations of interest are eliminated that are not within apredetermined driving distance of the route, as described in step 770 ofFIG. 7.

The exemplary data structures 1000 also include a data structure 1030for associating a shape point with a portion of a grid. The associativedata structure 1030 includes a shape point identifier 1032 and a spatialidentifier 1034 for a grid portion. The shape point identifier 1032uniquely identifies a shape point, and the spatial identifier 1034uniquely identifies a portion of a grid, such as a grid quadrant of amultiple-level grid system for a region of geography. Thus, theassociative data structure 1030 identifies the portion of the grid thatcorresponds to a particular shape point.

The example data structures 1000 also include a data structure 1050 fora location of interest. The location-of-interest data structure 1050includes a location-of-interest identifier 1051, a spatial identifier1053, a description 1055, optionally, a type 1057 of location, and alocation 1059. The location-of-interest identifier 1051 uniquelyidentifies a location-of-interest, and the spatial identifier 1053uniquely identifies a portion of a grid portion, as describedpreviously. The location-of-interest data structure 1050 thus identifiesa particular location of interest that is located in the portion of thegrid identified by the spatial identifier 1053.

The description 1055 of the location of interest may include, forexample, a name of the location of interest, a textual description aboutthe location of interest, and hours of operation (when applicable). Thetype 1057 of the location of interest may be included as an optionalcomponent of the data structure 1050 shown by this example. Types oflocations of interest have been previously described and may include,for example, the type of restaurant, gas station, lodging, entertainmentor educational opportunity, and landmark. Location 1059 identifies theparticular location of the location of interest within the grid portion.The location 1059 may be identified, for example, through the use oflatitude and longitude coordinates.

A particular link having the link data structure 1010 may be related toa particular association having the associative data structure 1030. Therelated association in the associative data structure 1030 may beidentified by using a particular shape point identifier in the list ofshape point identifiers 1014 to identify a corresponding shape pointidentifier 1032 in the associative data structure 1030. This isillustrated by flow line 1080.

A particular association having the associative data structure 1030 alsomay be related to one or more locations of interest having thelocation-of-interest data structure 1050. The related location ofinterest may be identified by using a particular spatial identifier 1034in the associative data structure 1030 to identify a correspondingspatial identifier 1053 in the location-of-interest data structure 1050.This is illustrated by flow line 1085.

FIG. 11 depicts the components 1100 that may be used in performing acorridor search. The components 1100 include data components 1110 andprocessing components 1120. The processing components 1120 may beimplemented using host device 135 of FIG. 1 or host device 235 of FIG.2. The data components 1110 may be stored on persistent storageassociated with host device 135 of FIG. 1 or host device 235 of FIG. 2.

The data components 1110 include routing results 1112, link information1114, shape point associations 1116, and location-of-interestinformation 1118. The routing results 1112 store information about aroute determined, for example, by a route determination process. Thelink information 1114 stores information about links, as described withrespect to link data structure 1010 of FIG. 10. The shape pointassociations 1116 store the associations between shape points and gridportions, as described previously with respect to associative datastructure 1030 of FIG. 10. The location-of-interest information 1118stores information, including a corresponding spatial identifier for agrid portion, for a location-of-interest, as described with respect tolocation-of-interest data structure 1050 of FIG. 10.

The processing components 1120 include a routing interface 1122, acorridor is search processor 1124, and a corridor-search-resultspresentation processor 1126.

The routing interface 1122 provides a programmatic interface to arouting system that previously has determined a route from an originlocation to a destination location. For example, the routing interface1122 may receive the link identifiers for all of the links that areincluded in a particular route and store the received link identifiersin routing results 1112.

The corridor search processor 1124 directs and controls theidentification of locations of interests for the route, such asdescribed with respect to FIG. 4 or 7. To do so, in general, a corridorsearch process identifies locations of interest for a route usingrouting results 1112, link information 1114, shape point associations1116 and location-of-interest information 1118.

For each link in the route stored in routing results 1112, the corridorsearch processor performs a corridor search process. The corridor searchprocessor 1124 accesses link information 1114 for a particular link inthe route stored in routing results 1118. To access shape points thatcorrespond to the link, the corridor search processor uses the list ofshape point identifiers 1014 for the particular link (that isrepresented using link data structure 1010) in link information 1114(steps 410 of FIGS. 4 and 710 of FIG. 7).

Using the list of shape point identifiers 1014, the corridor searchprocessor 1124 identifies a portion of the gird that corresponds to eachof the shape points in the list of shape point identifiers 1014 (steps420 of FIG. 4 and 730 of FIG. 7). To do so, the corridor searchprocessor 1124 accesses the shape point identifier 1032 represented inthe data structure 1030 in the stored shape point associations 1116. Theaccessed shape point identifier 1032 corresponds to one of the shapepoint identifiers in the list of shape point identifiers 1014 in thedata structure 1010 in stored link information 1114. The corridor searchprocessor 1124 then is able to identify the grid portion that isassociated with the accessed shape point identifier. The grid portionidentification is based on the spatial identifier for a grid portion1034 that is associated with the accessed shape point identifier 1032 inthe shape point association data structure 1030 that is stored in shapepoint associations 1116.

The corridor search processor 1124 then retrieves the locations ofinterest that correspond to the identified grid portion (steps 440 ofFIG. 4 and 750 of FIG. 7). For example, the corridor search processor1124 may access, in the stored location-of-interest information 1118,the locations of interest that include a spatial identifier of a gridportion 1053 that correspond to the spatial identifier of a grid portion1034 identified in the stored shape point associations 1116.

The corridor search processor 1124 may store the identified locations ofinterest in routing results 1112 and may provide the locations ofinterest results to the corridor-search-results presentation processor1126 for their presentation.

Although FIGS. 1-11 illustrate systems and methods for determining apreferred driving route, the techniques are not limited to drivingroutes. These techniques may be applicable to determining a preferredroute using other modes of transportation (e.g., walking, bicycling,flying, swimming, or navigating a water route). These techniques may beapplicable, for example, to one or more computing devices fordetermining a preferred route that communicate in a client system andhost system (e.g., an Internet access provider or an Internet serviceprovider) relationship, a single computing device (e.g., with or withoutnetworking capabilities), or an embedded system (e.g., a navigationrouting system in an automobile or other vehicle).

Implementations may include a method or process, an apparatus or system,or computer software on a computer medium. It is intended that variousmodifications may be made without departing from the spirit and scope ofthe following claims. For example, advantageous results still could beachieved if steps of the disclosed techniques were performed in adifferent order and/or if components in the disclosed systems werecombined in a different manner and/or replaced or supplemented by othercomponents.

Other implementations are within the scope of the following claims.

1. A method comprising: receiving a request for a route from a firstlocation to a second location; determining, based on the receivedrequest, a route from the first location to the second location;determining an area which is spatially related to the route, and withinwhich to identify points of interest; identifying a first grid patternwithin the area spatially related to the route, the first grid patternencompassing a portion of the area spatially related to the route;identifying locations of interest associated with the first gridpattern; identifying a second grid pattern within the area spatiallyrelated to the route, the second grid pattern encompassing the firstgrid pattern and a broader area; identifying locations of interestassociated with the second grid pattern; and enabling rendering of theroute with at least a portion of the area spatially related to the routeincluding one or more locations of interest identified as associatedwith the first or second grid patterns.
 2. The method of claim 1wherein: identifying locations of interest associated with the firstgrid pattern includes searching data corresponding to locations ofinterest for identifiers of the first grid pattern; and identifyinglocations of interest associated with the second grid pattern includessearching data corresponding to locations of interest for identifiers ofthe second grid pattern.
 3. The method of claim 1 wherein identifyinglocations of interest associated with the first grid pattern comprises:determining distances of locations of interest to one or more pointswithin the first grid pattern; comparing the determined distances to athreshold distance; and eliminating locations of interest when thedetermined distance for a location of interest is not within thethreshold distance.
 4. The method of claim 1 wherein the first andsecond grid patterns each represent a different level in a hierarchy ofgroups of grid patterns.
 5. The method of claim 4 further comprising:associating, with the first and second grid patterns, a spatialidentifier of a portion of a hierarchy of grid patterns, and whereinidentifying locations of interest associated with the first grid patterncomprises identifying locations of interest that are associated with thespatial identifier associated with the first grid pattern andidentifying locations of interest associated with the second gridpattern comprises identifying locations of interest that are associatedwith the spatial identifier associated with the second grid pattern. 6.A method comprising: determining a grid area to be searched forlocations of interest; identifying locations of interest associated witha first subsection, the first subsection encompassing at least a portionof the determined grid area; identifying locations of interestassociated with a second subsection, the second subsection encompassingthe portion of the determined grid area and a broader grid area; andenabling rendering of at least a portion of the determined grid areaincluding one or more locations of interest identified as associatedwith the first or second subsections.
 7. The method of claim 6 whereindetermining a grid area to be searched for locations of interestincludes determining a geographic area.
 8. The method of claim 6 whereinidentifying a grid area to be searched for locations of interestincludes identifying a route to a destination.
 9. The method of claim 6wherein: identifying locations of interest associated with the firstsubsection includes searching data corresponding to locations ofinterest for identifiers of the first subsection; and identifyinglocations of interest associated with the second subsection includessearching data corresponding to locations of interest for identifiers ofthe second subsection.
 10. The method of claim 6 further comprisingidentifying portions of the determined grid area that have beenredundantly identified and eliminating the redundantly identifiedportions of the grid area.
 11. The method of claim 6 wherein identifyinglocations of interest associated with the first subsection comprises:determining distances of locations of interest to one or more pointswithin the first subsection; comparing the determined distances to athreshold distance; and eliminating locations of interest when thedetermined distance for a location of interest is not within thethreshold distance.
 12. The method of claim 11 wherein the thresholddistance is user-configurable.
 13. The method of claim 11 wherein thethreshold distance is program-configurable and differs based on context.14. The method of claim 6 wherein identifying locations of interestassociated with the first subsection comprises: determining drivingdistances of locations of interest to points within the firstsubsection; comparing the determined driving distances to a thresholddriving distance; and eliminating locations of interest when thedetermined driving distance for a location of interest is not within thethreshold driving distance.
 15. The method of claim 6 wherein the firstand second subsections represent different levels in a hierarchy ofsubsections.
 16. The method of claim 15 further comprising: associating,with the first and second subsections, a spatial identifier of a portionof a hierarchy of subsections, and wherein identifying locations ofinterest associated with the first subsection comprises identifyinglocations of interest that are associated with the spatial identifierassociated with the first subsection and identifying locations ofinterest associated with the second subsection includes comprisesidentifying locations of interest that are associated with the spatialidentifier associated with the second subsection.
 17. The method ofclaim 15 wherein each level of the hierarchy of subsections includesfour quadrants.
 18. The method of claim 6 further comprising renderingof the grid area using a personal digital assistant.
 19. The method ofclaim 6 further comprising rendering of the grid area using an on-boardnavigation system.
 20. The method of claim 6 wherein a location ofinterest is identified based on an indirect association between alocation of interest and a subsection.
 21. An apparatus configured to:determine a grid area to be searched for locations of interest; identifylocations of interest associated with a first subsection, the firstsubsection encompassing at least a portion of the determined grid area;identify locations of interest associated with a second subsection, thesecond subsection encompassing the portion of the determined grid areaand a broader grid area; and enable rendering of at least a portion ofthe determined grid area including one or more locations of interestidentified as associated with the first or second subsections.
 22. Theapparatus of claim 21 wherein the apparatus is further configured toidentify a geographic area.
 23. The apparatus of claim 21 wherein theapparatus is further configured to identify a route.
 24. The apparatusof claim 21 wherein the apparatus is further configured to: search datacorresponding to locations of interest for identifiers of the firstsubsection; and search data corresponding to locations of interest foridentifiers of the second subsection.
 25. The apparatus of claim 21wherein the apparatus is further configured to identify portions of thedetermined grid area that have been redundantly identified and eliminatethe redundantly identified portions of the grid area.
 26. The apparatusof claim 21 wherein the apparatus is further configured to: determinedistances of locations of interest to one or more points within thefirst subsection; compare the determined distances to a thresholddistance; and eliminate locations of interest when the determineddistance for a location of interest is not within the thresholddistance.
 27. The apparatus of claim 26 wherein the apparatus is furtherconfigured such that the threshold distance is user-configurable. 28.The apparatus of claim 26 wherein the apparatus is further configuredsuch that the threshold distance is program-configurable and differsbased on context.
 29. The apparatus of claim 28 wherein the apparatus isfurther configured to: determine driving distances of locations ofinterest to points within the first subsection; compare the determineddriving distances to a threshold driving distance; and eliminatelocations of interest when the determined driving distance for alocation of interest is not within the threshold driving distance. 30.The apparatus of claim 28 wherein the apparatus is further configuredsuch that the first and second subsections represent different levels ina hierarchy of subsections.
 31. The apparatus of claim 30 wherein theapparatus is further configured to: associate, with the first and secondsubsections, a spatial identifier of a portion of a hierarchy ofsubsections; identify locations of interest that are associated with thespatial identifier associated with the first subsection; and identifylocations of interest that are associated with the spatial identifierassociated with the second subsection.
 32. The apparatus of claim 30wherein the apparatus is further configured such that each level of thehierarchy of subsections includes four quadrants.
 33. The apparatus ofclaim 21 wherein the apparatus is further configured to render the gridarea using a personal digital assistant.
 34. The apparatus of claim 21wherein the apparatus is further configured to render the grid areausing an on-board navigation system.
 35. The apparatus of claim 21wherein the apparatus is further configured such that a location ofinterest is identified based on an indirect association between alocation of interest and a subsection.
 36. An apparatus comprising: aprocessor configured to determine a grid area to be searched forlocations of interest; means for identifying locations of interestassociated with a first subsection, the first subsection encompassing atleast a portion of the determined grid area and; means identifyinglocations of interest associated with a second subsection, the secondsubsection encompassing the portion of the determined grid area and abroader grid area; and a display configured to enable rendering of atleast a portion of the determined grid area including one or morelocations of interest identified as associated with the first or secondsubsections.
 37. A method for enabling rendering of a route includingone or more locations of interest, the method comprising: receiving,from a user at a client, a request for a route from a first location toa second location; determining, based on the received request, a routefrom the first location to the second location; determining an areawhich is spatially related to the route, and within which to identifypoints of interest; identifying a first grid pattern within the areaspatially related to the route, the first grid pattern encompassing aportion of the area spatially related to the route; identifyinglocations of interest associated with the first grid pattern;identifying a second grid pattern within the area spatially related tothe route, the second grid pattern encompassing the portion of the areaspatially related to the route and a broader area; identifying locationsof interest associated with the second grid pattern; and enablingrendering, of the route with at least a portion of the area spatiallyrelated to the route including one or more locations of interestidentified as associated with the first or second grid patterns.